Emerging Trends in Scientific Computing and Theoretical Computer Science

.- SECTION:  MILITARY AND DEFENSE MODELING AND SIMULATION
.- Classifying Seismic Events: A Machine Learning Approach to Identifying Earthquakes, Explosions and Other Rare Events.
.- Cost Estimation of DoD ACAT 1 Software Programs: Statistical Regression vs. Neural Networks.
.- Airfoil Selection Tool Development Using the Cross-Industry Standard Process for Data Mining.
.- Solar Storm Effects on Quantum Communication Network Performance.
.- MADFACTs:A Meta-learning Augmented Defense Framework for Adversarial Cyber Techniques.
.- SECTION:  SCIENTIFIC COMPUTING AND UTILIZATION OF ARTIFICIAL INTELLIGENCE
.- A Hybrid Statistical-Machine Learning Framework for Assessing Structural Accuracy in Predicted Protein Models.
.- Machine Learning and Data Analysis Method for Predicting an Efficient Algorithm for Heterogeneous Multicore Scheduling.
.- Heart Valvular Disease Detection Using Image-based Time Series and Transfer Learning.
.- Zero-Shot Perception and Spatiotemporal Transformers for Automated Gait and Footpad Score Classification.
.- Causal Inference for Observational Studies: Deep Learning Approaches to Counterfactual Generative Modeling.
.- Preserving Medical Meaning Across Languages: A UMLS-Driven Approach with Small Language Models.
.- Evaluating Large Language Models for Explaining Insecure Code and Identifying Vulnerabilities in Java and Python.
.- AI-Sensing Neuromorphic Computing for Cybersecurity in Healthcare Data Lakes.
.- Academic Risk Prediction: An Artificial Intelligence-Based Approach Using Psychoeducational Variables.
.- SECTION:  QUANTUM COMPUTING, SECURITY, AND APPLICATIONS.
.- Lattice-Based Encryption in Building Post Quantum-Resistant Algorithms for Next-Generation Security.
.- Crypto-Agility in Post-Quantum Cybersecurity with AI-Driven Dynamic Key Management.
.- Quantum-Resilient Edge Computing Cryptography for Resource-Limited Medical IoT.
.- Quantum-Enhanced Intrusion Detection: A Novel Hybrid Approach Using Quantum Deep Learning.
.- SECTION: SCIENTIFIC COMPUTING, DISTRIBUTED PROCESSING, OPTIMIZATION, NUMERICAL METHODS, AND APPLICATIONS.
.- Synchronous Blocking Data Transfer Over Wi-Fi Using Java Fork-Join Versus Virtual Threads and Structured Concurrency.
.- Example of Non-Linear Map with Non-Unique Transition to Dynamic Chaos.
.- Transmission Range Test for a LoRa-based in-situ Water Assessment System in the Vaal Region.
.- Representation of Multidimensional Chaotic Models with Closed-Form Invariant Distributions as Compositions of Symmetric Functions.
.- Comparative Analysis of Scheduling Algorithms Relative to O(n) Characteristics.
.- Parallel and Sequential Algorithms for Detecting Sparse Binary Squares with Three Ones.
.- Voltage Collapse Instability Prediction of Nigerian 330kV Transmission Network Using Predictive Optimizer and Arithmetic Moving Average Technique for Enhancement.
.- Evaluation of the Impact of Preprocessing and Selection of Characteristics on the Classification of Feelings.
.- Density of States of Triangular Antiferromagnetic Ising Models of Finite Size.
.- Language Foundations for HPC Array Structures.
.- Design and Analysis of Recursive Algorithms - A Modern Perspective.
.- Counting Nonisomorphic Magic Venn Diagrams.
.- Enhanced Pneumonia Detection in Chest X-rays via KPCA and Multi-Kernel SVM.
.- Network-Scale Fault Tolerant Computing - A von Neumann Multiprocessor Architecture.
.- Investigating the Use of Quantum Computing and Quantum Machine Learning in Speech Recognition Systems: A Comprehensive Survey of Recent Advancements.
.- SECTION:  POSTER RESEARCH PAPERS
.- High Performance Algorithms for Network Routing using In-Memory Computing

• Erscheinungsdatum: 13.06.2026
• Autor/Autorin: Hamid R. Arabnia
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 40.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 496 Seiten
• ISBN: 9783032222114
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.